Data Evaluation: Results

Jakub Horák, Veronika Machová, Valentina Vycheslavovna Mantulenko and Tomáš Krulický
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Jakub Horák: Institute of Technology and Business
Veronika Machová: Institute of Technology and Business
Valentina Vycheslavovna Mantulenko: Samara State University of Economics
Tomáš Krulický: Institute of Technology and Business

Chapter Chapter 6 in Development of World Trade in the Context of the COVID-19 Pandemic, 2023, pp 67-173 from Springer

Abstract: Abstract The chapter dealing with the data evaluation analyses in detail the achieved results within the activities performed to achieve the set goal of the publication. The values of balance of trade, export, and import are calculated for Russia and the Czech Republic on the basis of the data available for more than 27 years. For the calculations, the novel and innovative method of artificial neural networks is used. The seasonal effect (lag) of the time series is considered in the form of experiments. Tens of thousands of neural structures are trained, out of which those with the best characteristics are selected. Their ability to copy the development of a given variable and predict it is analysed in detail. This chapter is supplemented by many graphs that provide a complex analysis of the development of trade between the CR and Russia.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-031-27257-8_6

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DOI: 10.1007/978-3-031-27257-8_6

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